research-article

Achieving Self-Management via Utility Functions

Authors:

Jeffrey O. Kephart,

Rajarshi DasAuthors Info & Claims

IEEE Internet Computing, Volume 11, Issue 1

Pages 40 - 48

https://doi.org/10.1109/MIC.2007.2

Published: 01 January 2007 Publication History

Abstract

Self-management in accordance with high-level objectives that users can specify is a hallmark of autonomic computing systems. The authors advocate utility functions as a principled, practical, and general way of representing such objectives. In an effort to bring the promise of utility-based frameworks to the marketplace, they describe how they've implemented them in two commercial products to achieve efficient resource allocation in a prototype data center. They also address several challenges to commercialization stemming from the need to reconcile the two products' fundamentally different types of objectives.

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Cited By

Różańska MHorn G(2024)Constrained optimal grouping of cloud application componentsJournal of Cloud Computing: Advances, Systems and Applications10.1186/s13677-024-00653-513:1Online publication date: 10-May-2024
https://dl.acm.org/doi/10.1186/s13677-024-00653-5
Langford MChan KFleck JMcKinley PCheng B(2023)MoDALAS: addressing assurance for learning-enabled autonomous systems in the face of uncertaintySoftware and Systems Modeling (SoSyM)10.1007/s10270-023-01090-922:5(1543-1563)Online publication date: 18-Mar-2023
https://dl.acm.org/doi/10.1007/s10270-023-01090-9
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Achieving Self-Management via Utility Functions

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Published In

cover image IEEE Internet Computing

IEEE Internet Computing Volume 11, Issue 1

January 2007

92 pages

ISSN:1089-7801

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Copyright © 2007.

Publisher

IEEE Educational Activities Department

United States

Publication History

Published: 01 January 2007

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Cited By

Różańska MHorn G(2024)Constrained optimal grouping of cloud application componentsJournal of Cloud Computing: Advances, Systems and Applications10.1186/s13677-024-00653-513:1Online publication date: 10-May-2024
https://dl.acm.org/doi/10.1186/s13677-024-00653-5
Langford MChan KFleck JMcKinley PCheng B(2023)MoDALAS: addressing assurance for learning-enabled autonomous systems in the face of uncertaintySoftware and Systems Modeling (SoSyM)10.1007/s10270-023-01090-922:5(1543-1563)Online publication date: 18-Mar-2023
https://dl.acm.org/doi/10.1007/s10270-023-01090-9
Chami ZJaoude CChbeir RBarhamgi MAlraja M(2022)A No-Reference and Full-Reference image quality assessment and enhancement framework in real-timeMultimedia Tools and Applications10.1007/s11042-022-12334-z81:22(32491-32517)Online publication date: 1-Sep-2022
https://dl.acm.org/doi/10.1007/s11042-022-12334-z
Różańska MHorn GBittencourt LSill A(2021)Marginal metric utility for autonomic cloud application managementProceedings of the 14th IEEE/ACM International Conference on Utility and Cloud Computing Companion10.1145/3492323.3495587(1-8)Online publication date: 6-Dec-2021
https://dl.acm.org/doi/10.1145/3492323.3495587
Ghahremani SGiese HVogel T(2020)Improving Scalability and Reward of Utility-Driven Self-Healing for Large Dynamic ArchitecturesACM Transactions on Autonomous and Adaptive Systems10.1145/338096514:3(1-41)Online publication date: 25-Feb-2020
https://dl.acm.org/doi/10.1145/3380965
Cheng BClark RFleck JLangford MMcKinley PSyriani ESahraoui H(2020)AC-ROSProceedings of the 23rd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems10.1145/3365438.3410952(102-113)Online publication date: 16-Oct-2020
https://dl.acm.org/doi/10.1145/3365438.3410952
Mosa APaton N(2016)Optimizing virtual machine placement for energy and SLA in clouds using utility functionsJournal of Cloud Computing: Advances, Systems and Applications10.1186/s13677-016-0067-75:1(1-17)Online publication date: 1-Dec-2016
https://dl.acm.org/doi/10.1186/s13677-016-0067-7
Stein MFrömmgen AKluge RLöffler FSchürr ABuchmann AMühlhäuser M(2016)TARLProceedings of the 11th International Symposium on Software Engineering for Adaptive and Self-Managing Systems10.1145/2897053.2897061(57-63)Online publication date: 14-May-2016
https://dl.acm.org/doi/10.1145/2897053.2897061
Geihs KEvers C(2016)User intervention in self-adaptive context-aware applicationsProceedings of the Australasian Computer Science Week Multiconference10.1145/2843043.2843373(1-8)Online publication date: 1-Feb-2016
https://dl.acm.org/doi/10.1145/2843043.2843373
Pelaez AParashar MQuiroz AVarela CCastro HBarrios C(2016)Dynamic adaptation of policies using machine learningProceedings of the 16th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing10.1109/CCGrid.2016.64(501-510)Online publication date: 16-May-2016
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